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Paper Citation Record · LEDGER

Deep Unlearn: Benchmarking Machine Unlearning for Image Classification

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01276.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.01276 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:16:43.324282Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T05:54:08.293329Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 246622b9-6166-43b7-853c-c095ab93b4df · inbound

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse cites this paper.

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse Deep Unlearn: Benchmarking Machine Unlearning for Image Classification

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:54:08.296493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T05:53:18.934088Z digest=sha256:d78c9da50663cdc5b18f97809167266147de52da311c1a784dbd0d1b7171ffb7

Observation 6b5cd5ff-ee20-44f4-b0e8-b31451c699a4 · inbound

DECAF: De-Clustering for Adaptive Representational Unlearning cites this paper.

DECAF: De-Clustering for Adaptive Representational Unlearning Deep Unlearn: Benchmarking Machine Unlearning for Image Classification

Reference 125

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:00.781456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:34:00.781456Z digest=sha256:9a616f3c7c3f15141dfb56455128601f72734bc0cbeadbcc684899795a74f7d4

Observation 76e83e1b-d93a-451f-aa08-c67494f1ed23 · inbound

Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging cites this paper.

Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging Deep Unlearn: Benchmarking Machine Unlearning for Image Classification

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T15:16:43.324282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:16:43.324282Z digest=sha256:43cfa65ec1f55afdf5ca5fdd261b21987da1744a79de2d498f9b9bc0fa739d6b